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[untitled]

NETWORK

DURATION
00:30:00

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SCANNED IN
San Francisco, CA, USA

SOURCE
Comcast Cable

TUNER
Channel 89 (615 MHz)

VIDEO CODEC
mpeg2video

AUDIO CODEC
ac3

PIXEL WIDTH
544

PIXEL HEIGHT
480

TOPIC FREQUENCY

San Francisco 19, Us 3, Bubblely 2, The City 2, Lawrence 1, Tina Lee 1, John 1, Clustering 1, Chiu 1, Isabel 1, Harrison 1, Greetier 1, Donna 1, Paxis 1, William Gordon 1, City 1, Lee 1, California 1, Hatchery 1, Dolores 1,
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  SFGTV2    [untitled]  

    December 27, 2012
    9:00 - 9:30pm PST  

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please administer the glitter. last trouble we got in trouble with housekeeping, so we will do pretend glitter. as it spreads may your love and cheer spread, may it remain on you as long as it is needed and work its way to every part of you that needs magic and light. and now, loudly please, repeat after me. 1, joy, more joy. always joy. and continue to repeat after me, blessed be... this blessed day. tuesday, december 4th, 2012. and as sisters as we always end our blessings, repeat after me, amen, awomen, and all of the others.
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thank you. and have a beautiful holiday season. [ applause ] >> this is how we celebrate the holidays in san francisco, you are not in kansas any more. let's hear it for the sisters. before we go any further we have one more speaker and some of you have been siping wine, barefoot and bubblely, let's hear it for barefoot and bubblely, afterwards you will be enjoying food was donated by restaurants and asked again and again by so many organization and events and i want to recognize them with lots of enthusiasm, cafe, floor, hot
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cookies, bomba, garden, and paxis. i am sure that i with missed somebody and before we close out we have one speaker that impersonally looking forward to, this is going to close out the program and at the close of those programs we will do a count down and if you think that tree is pretty now, wait until you see it lit. we are honored to have a special guest tonight, isabel ayunda, the best selling author and considered to be the world's most widely read spanish language author. now there is something her novels, the house of spirit and pola and the city of beasts some of the books have been made into films and inducted into the american academy of arts and letters and received the national literature prize and awarded the literature award and also a writer and
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humanitarian and how appropriate to have her here, improving the lives of others around the world promoting hope and social justice, honored to have you here and your husband, william gordon, both are here tonight. she will share a message and i will her to do a short count down and i think that we will start at 82. probably ten. please join me in welcoming isabel iyenda. >> thank you, thank you, thank you. i feel like a rat compared to this lady. really, thank you for this invitation. hope, that is the key word for the year to come. not irrational, but realistic optimism, there are many good reasons to be very hopeful.
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it is time to put our losses and frustrations in a paper bag and burn them. they belong to the past. the new year is like a last stage where we will write our dreams and hopes. what do we hope for? not only jobs, the end of the recession, and a congress that works for a change. let's be greetier. let's hope for a better country, and a safer world. for more compassion. and let's also wish for good fortune for this, our lovely city of san francisco. at the personal level, let's hope for less stress, because the crucial event that determine our life, are beyond our control.
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and that and good things just happen let's not blame ourselves too harshly when things go wrong. there is usually room for a lot of mistakes and new beginnings. strength comes from overcoming obstacles. that is how we learn and never from our success. we learn from our mistakes. if we are here to end and we do all of the time we just turn around and start again. we all make foolish choices and yet we are here standing, aren't we? we san franciscoans feel entitled to good coffee and permanent happiness. [ applause ] >> i agree with the coffee. but happiness? it is over rated. there is something... there is nothing wrong with struggle, and some pain. if nothing hurts we are dead.
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all of this wining about the state of the world is so annoying. the world may not be good, but it is certainly better than it was before. this is why i am hopeful never before has humanity had so many resources, knowledge, power, and information. it has never been so interconnected, we are stronger and smarter and we lived longer than our grand parents. it can certainly destroy the planet but probably we will not. we will improve it. because that is what we have been doing since the stone age. we are moving forward and hear in california, we are always a step ahead of everybody else. [ applause ] >> so these are my hopes for the next few months. that we can all have meaningful
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life. and that we can be close to each other, and participate in our communities, and serve and volunteer. caring for others is cheaper than therapy, it makes a lot of sense and you get to meet nice people. >> i hope that we will be more joyful, creative and playful. that we will have less caution and more passion in matters of the heart. and that we will enjoy sorrowfully this crazy, and extraordinary city of san francisco. when we light this beautiful tree, let's make a wish. let's wish that all of us fall in love with life. thank you. [ applause ] >> i am going to buy one of her books now, i am telling you. >> all right, we are not starting at 82 because i want
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to see how that tree looks, are they ready upstairs? there is my signal. let's start with 10, 9, 8, 7, 6, 5, 4, 3, 2, 1. happy holidays. isabel. thank you so much for being here and all of the speakers and the people on stage and for coming up with this wonderful idea and if you don't come there won't be a party and so come against next year, my wish that you will ask me to mc this again next year, let's enjoy barefoot bubbly and the restaurants that i listed take your programs home, i'm donna, sachet. thank you. ♪
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>> so, we're just going to take you through this really quickly. over 200 parks, over 1100 facilities are all contained within this. everything is based around you as a human being have your app. if you're looking for a park or if you're not familiar with any of the parks here in the city are, this app is a perfect accessory.
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so we're basically zooming in on the map right now. you can see the clustering 2 12 parks. as you get closer in, it lets you know where you're at. i'll zoom in on a park. you can see many different parks here. if you go to dolores, we'll start to see all of the facilities that they have available. looks like there's a tennis court, a dog play area, some children's park play areas. and if you actually go into one of the children's play area maybe, you can see some details about it. any news about each of the parks is going to be referenced here through a feed. ability to donate to the rec and park. let's say a ballfield, you'd be
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getting ballfield information. if there's close out based on rain. and you can do some filtering, spot-check the filtering real quick. this is what's near right now. filter, we've got, i don't know, what is it, over 10 categories, maybe closer to 20. and basically anything you're looking for, you can turn on right here. for me, i'm a dog owner. maybe i want to take the kids as well. and i want to find a park that has all of these things. i filter, i go back. i'll find which ones are the closest via the list or the map view. and then when you actually go ahead and click on any of these parks, you'll be brought to --
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you should be brought to the ones that have actual dog parks and the other filters that were put on the picnic area. so, there you see you've got dog play area, picnic area. additionally, there's feedback that can be pushed through this. any reservations for the picnic areas in park and rec, golden gate park has quite a few. you can actually go ahead and begin to do reservations on here. you just choose your picnic table and go through this. you can also search for whatever it is that you're looking for. if you're looking for dolores park, we just did a search for dolores, brings you right to it. you can go inside and take a look at what's available there.
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and you can also get directions. zoom back in on this. and, so, very simple, just direction. does anyone have any questions? okay. we've got about 8 minutes until we've got the mayor coming on. so -- >> [inaudible]. >> hi, i'm the founder and ceo of apple-liscious. a couple things to talk about for the mobile app. we built the platform for the department of rec and park. looking towards the future, which is really kind of what bill ginsler was doing, making information first, but second, adding the financial component, making transactions which we have built into the mobile
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commerce platform with the hierarchical structure from the top down, enabling the city to actually manage all of their own financial transactions. from ticketing, reservations, permitting, just about every component you can think of, of interacting with the city as a business itself, which most people -- which is kind of a big differentiation factor in developing this. so, as far as creating access to the public, using the open data sets, and creating exposure to neighborhoods that you probably traditionally didn't even think were there, we realized there were 1200 different facilities all through the park -- all through the city as we were going out to explore. and upon our own discovery, and i being a local native, i didn't know about 800 of them. so, as we move forward into the future, taking this, working with some other departments like san francisco arts, we're
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creating access for people, creating efficiency with the government being able to manage transactions, creating a platform for people to actually interact with the city on a level that hasn't been done before. so, ideally, using the san francisco rec and park, the future san francisco arts app, using our mobile commerce to manage that is creating jobs, revenue, and efficiency for the public and tourists to be able to navigate san francisco in a way that hasn't been done before. thank you. >> all right. (applause) >> so, we're going to show another application from motion launch, the founder and ceo, john, will be sharing some of the work that they're doing. they're based here out of san francisco and they've got a great announcement to make.
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>> i am jon mills. i'm ceo of motion loft. we started about three years ago developing sensors that we could place around cities that would give us some analytics on how people move around cities and how vehicles drive around cities. so, currently we have 16 neighborhoods -- 18 neighborhoods covered in san francisco, and we get real-time data back that shows exactly how many people go by some of the busiest areas in san francisco. so, you can see here san francisco, on average total, i think we had 150 people cross our sensors on average for every sensor. in case you want to go into time density. so, we end up getting these really, really great visualizations of the busiest times and the least busiest times of people moving around
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san francisco. you want to go down into union square? you can see the data changes dramatically when we change the neighborhood. and just illustrates how different every neighborhood in san francisco really is. we're announcing today that we're providing some of this data to the city as a kind of public service to help the citizens here figure out how many people walk around their neighborhood. but mostly it's to help public service, like the fire department, the police department, the mta know more about how people move around. so, we're providing crowd data. so, if a thousand people pass one of our sensors in an hour, that data will be available publicly. every month. so, chris, do you want to go a little deeper? >> you can see we have a lot of
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blocks around union square covered. when you show this data to property owners and real estate agents and to retailers, they want to know more about how much -- how many people walk in front of their store every day, kind of the story -- the way i thought of the idea was standing in my balcony looking down at walgreens and realizing they had no idea how many people pass their store every day. they don't know that, how do they know if they're successful because the weather is nice, or because they did something right. so, you want to go into business hours? the wi-fi store here. so, one of our clients is saks fifth avenue and we end up giving them some really great charts about how many people pass while they're open. so, you can see here. these are the hours that
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they're open. and the dark areas are the hours that they're closed. and if they're open from 10:00 to 7:00 p.m., they capture 81% of the people that walk by. so, that might mean that they want to move their hours one way or the other and capture more people, or stay the same. and it's just data they didn't have before. and i think you can imagine what 5% more people, more customers to a big retailer would be in revenue. i can't tell if they're trying to cut me short or telling me to keep going. [laughter] >> this wasn't even -- this wasn't even part of it. i guess people are just late. so, i get up here. all right. yeah, so, if you go down and in our interface, this is a web app that's available to all our customers, you can see here the busiest day in san francisco is friday. the busiest time, the busiest hour on average is 1:00 to 2:00 p.m.. on september 14th was the busiest day of last month.
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and the people can line this data up with their sales data or with public transit or anything they're looking at and they'll be able to figure out real quickly if there's a correlation. and if there's more pedestrians, less pedestrians. what? >> [inaudible]. >> i'm sorry? >> [inaudible]. >> so, this is a tool that we're developing based on the data that we're announcing today. you can see them over here a little bit better. but you can see that to most departments, most agencies in san francisco, the city, most agencies, they'll be able to use this in a real way. they'll be able to look -- police can look at an interface and be able to see exactly how many people are in these areas that they might have to go to -- kind of wrap up now, i guess. no, i can't. so, you know, and we can also
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show predictive data about when the giants are going to be playing. so, anyway, you can come over for a demo later. i think we'll be on a panel later. now i think it's the mayor's turn. (applause) >> okay, everybody, [speaker not understood]. we've actually been working with the city the past few weeks to try and consume some of the data that's a part of the data sf data repository and tell a story about urban growth. so, this is a mapping platform that allows you to not only visualize your data like you see here, but also ask questions of your data. and i'm pulling data from multiple data sources. here we have data from the city. we also have data from private data sources that read -- not
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going to mess with it. there's one of the variables now, the bottom you see there is median household income. we're pulling in all these different data sources, creating a beautiful visualization to tell a story at the neighborv level of how the city is growing. and some of the things you're seeing on the map here are a pipeline of information about both residential permits over the past decade or so, how has the city allocated permits throughout different neighborhoods in the city. and some of the other things you're seeing on the map is the approved businesses, the businesses are currently doing business in the city. one of the things we said once we started visualizing on the map the slow and more rapid growth of residential -- residential property in soma and then in 2011 you just saw obviously a huge residential boom in the downtown area.
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so, we've just actually -- we're a company in southern california. we just relocated up here, small little office in san francisco, trying to better understand the community moving at a fast pace here. part of doing that is working with the city and better understanding how we can support open data. so, thank you. (applause) >> good morning, everybody. can you hear me? good morning and welcome to the hatchery. this is our newest space. my name is rajul pakash, i'm one of the founders. along with my other partners, chris and richy in the back, and lawrence who could not make it. welcome to 6 45 harrison and the hatchery. it's super exciting to have such a dynamic group of people from both the public and private sector here today.
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and as a self-proclaimed geek and tech entrepreneur, this is really exciting for me. before i wax on about that's correct really quickly want to give you just a quick 90-second thing about the hatchery. we opened our doors about a year ago at 625 2nd street, bought 21 thou square feet there. we opened our doors and within a year we've grown into a whole new space which we opened two months ago. * across both spaces we have about 135 companies and it's sort of awesome. they are not all tech. we sort of range from writers and virtual wineries which are right behind me. to some of the leading technology companies in the valley. we have companies that raise anywhere from a thousand dollars to $25 million that have sort of been housed with us. some of the coolest things that have happened at the hatchery two people sitting next to each other working on the same app for six months decided to merge and raise a million dollars for their company. so, collaborative consumption is something we truly believe
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in and having spent a couple of years working with the likes of jane, brian, tina lee and a bunch of other people who have been sort of working on this open data problem, it's been sort of exciting to sort of see it come to fruition today and see sort of the progress that they've made. so, for me this is sort of -- it's been fun to sort of watch this team of people come together and do what they do and make san francisco a 21st century city. so, you know, it's an honor to welcome the mayor back to the hatchery, the new hatchery. we invite you, supervisor chiu, to our monthly infamous happy hours where bourbon and branch caters to meet with our tenants. it's an honor to have you guys here. enjoy the day and it's an honor to welcome jane back to the hatchery. (applause) >> good morning, my name is jane. i'm the mayor's chief innovation officer. before we get things started, i'm actually going to have one
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more company come up here because we're actually waiting for the press to get finalized and set upful. so, a couple more minutes to read here. how much time, press? no one is giving me any signs here. you guys are ready, great. so, we're going to hold off and have you guys come up a little bit later. so, again, my name is james. i want to thank the hatchery for hosting us here and being such an important part of the start-up community and for helping san francisco businesses start and grow here in san francisco. our first speaker is mayor lee. he has been a strong advocate of open data, both in his current position and also historically as the city administrator. and he's going to be sharing with you some really exciting announcements and his vision for open data. mayor? (applause) >> hi, good morning. welcome again to innovation month in san francisc

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